Tape is Dead, Not!
The combination of tape and flash will yield much better performance and substantially lower cost than spinning disk. This statement will prove true for long-term data retention use cases storing large data objects. The implications of this forecast are: 1) Tape is relevant in this age of Big Data; 2) Certain tape markets may actually show growth again; 3) Spinning disk is getting squeezed from the top by flash and from below by a disk/tape mashup we call “flape.”
Spinning Disk: Slow and Getting Slower
This week there are two important enterprise technology conferences taking place. One – SAPPHIRE 2014 – will see an old guard enterprise tech giant attempt to show it is capable of adapting to a technology landscape increasingly dominated by the cloud and Big Data. The other – Hadoop Summit 2014 – will see dozens of start-ups born in this new world out to prove to cautious CIOs that their technologies and platforms are ready for enterprise-level workloads.
It’s an interesting juxtaposition. SAP is determined to join the ranks of the “cool” cloud and Big Data companies (Salesforce.com, Hortonworks, Amazon Web Services), while those cool companies are equally determined to join the “enterprise-grade” club dominated by IBM, Oracle and, yes, SAP.
It isn’t the zombie apocalypse, but for too long, IT administrators have been shackled to infrastructure that was as friendly and stable as the stumbling undead. The coordination between application, infrastructure and physical data center was poor, leading to over 70% of resources being spent on adjusting configurations and trying to keep the lights on. Hyperscale cloud providers were built for scalability from day 1, so they had to be able to manage orders of magnitude more gear with a smaller IT staff. While cloud providers can customize new applications, enterprise users are burdened with a portfolio of legacy applications. The transformation to a scalable, agile and fast methodology isn’t simple, there are lessons and technologies that the enterprise can learn from the largest IT shops.
Amazon has turned the data center into an API and that has created a dramatic shift in the enterprise. The Internet giants – we sometimes refer to them as the hyperscale crowd (e.g. Amazon, Google, Microsoft, Apple, Facebook, etc.) – are paving the way for the next generation data center. This brings several challenges to IT organizations including pressure from the corner office to replicate the speed, agility and efficiency of these innovators. The problem is, most IT organizations don’t have the engineering capacity of a Google. IT organizations will spend money (with a vendor) to save on management costs (i.e. they’ll buy a more expensive solution that is easier to manage). Internet giants on the other hand will spend time (engineering time) to save money. It’s a very different mindset.
The Hadoop ecosystem is an eclectic mishmash of start-ups, mid-sized vendors and IT heavyweights with products and services up and down the Big Data stack. Inevitably the ecosystem will consolidate and thin itself out through mergers, acquisitions and – unfortunately for some of these start-ups – bankruptcies.
Consolidation is part of the natural evolution of any given technology market after an initial period of frenzied innovation, and the Big Data market is no exception. I believe we are witnessing the start of this consolidation today. It will take several years to play out, but the first phase of consolidation is manifesting itself in the form of strategic technical partnerships between vendors that play in different segments of the Hadoop market.
theCUBE’s next stop is the Hilton Santa Clara for #BigDataSV. The show takes place February 11-13, 2014 and you can catch all the action live at SiliconANGLE.tv. We’ll have analysis of all the news breaking at Strata Conference, as well as in-depth conversations with leading Big Data and Data Science thought-leaders.
In addition to the broadcast, we’re also throwing a little soiree the evening of February 12 at the Hilton. If you’re attending Strata, please joins us between 6pm-8pm PST in the Coastal Room for some drinks and hors d’oeuvres and socializing. RSVP here.
IBM’s annual revenue last year dropped below $100 billion for the first time since 2010. The company’s fourth quarter results were particularly weak, coming in 5.5% below expectations. This was due in large part to IBM’s struggling hardware business, with revenue dropping a staggering 27%.
I’ve already laid out my predictions for Big Data in 2014, but I also wanted to let the Wikibon community know how my colleagues and I plan to cover Big Data in the year ahead. We’ve organized our research agenda into three major buckets.
Technology. Clearly the technologies and products that collectively make up Big Data – including Hadoop, NoSQL data stores, analytic databases, data visualization tools and more – are maturing at a rapid pace (much faster, for example, than relational databases did in the 1980s.) Big Data is also applicable across industries, meaning these technologies are inevitably and increasingly intersecting with adjacent technology movements, namely the cloud, mobile computing and social media. As we have for the last several years, Wikibon will devote significant coverage to these developments with an eye on putting technology innovations in context for enterprise Big Data practitioners (both technology practitioners and line-of-business practitioners.)
The salary/benefits package is substantially lower than you need
You might be thinking that this reason is too obvious to make a list like this. However, too often, I hear stories from people who have accepted positions below their salary expectations only to eventually become resentful and looking for a way to correct the error. As long as your salary and benefit expectations are reasonable for:
Regardless of organization vertical or size, security has been and will continue to be an incredibly important part of the risk management portfolio. It’s how security is handled that will determine the overall effectiveness of chief security office position, though.
The security spectrum
Security is generally seen as a spectrum. At one end of the spectrum is the wild west kind of environment. In the wild west, anything goes and security is an afterthought. In such environments, there is generally no security officer and every employee just does what they want when they want it. If there is any security, it’s left up to the individual. In these environments, employees can always get their job done thanks to the lack of red tape, but there is a high risk of downtime and data compromise.